This text presents an overview of smart information systems for both the private and public sector, highlighting the research questions that can be studied by applying computational intelligence. The book demonstrates how to transform raw data into effective smart information services, covering the challenges and potential of this approach. Each chapter describes the algorithms, tools, measures and evaluations used to answer important questions. This is then further illustrated by a diverse selection of case studies reflecting genuine problems faced by SMEs, multinational manufacturers, service companies, and the public sector. Features: provides a state-of-the-art introduction to the field, integrating contributions from both academia and industry; reviews novel information aggregation services; discusses personalization and recommendation systems; examines sensor-based knowledge acquisition services, describing how the analysis of sensor data can be used to provide a clear picture of our world.
Specifically addresses issues related to handling both small and big data, illustrating the benefits arising from analysing such datasets for the provision of smart information services
Part I: Smart Information Aggregation Services.- Intelligent News Aggregator for German with Sentiment Analysis.- Twitter Sentiment Tracking for Predicting Marketing Trends.- Health Assistance for Immigrants.- Information Aggregation in an Enterprise.- Part II: Personalization and Recommendation Services.- Semantic Movie Recommendations.- News Recommendation in Real-Time.- Personalized Information Access using Semantic Knowledge.- Personalized Fashion Advice.- Gamification of Workplace Activities.- Part III: Sensor-Based Knowledge Acquisition and Signal Processing Services.- Optimization of In-House Energy Demand.- Detecting Violent Content in Hollywood Movies and User-Generated Videos.- Discovery of Driving Behavior Patterns.- Intermodal Mobility Assistance for Megacities.
